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Hanieh Hashemi
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2020 – today
- 2024
- [c5]Karan N. Chadha, Junye Chen, John C. Duchi, Vitaly Feldman, Hanieh Hashemi, Omid Javidbakht, Audra McMillan, Kunal Talwar:
Differentially Private Heavy Hitter Detection using Federated Analytics. SaTML 2024: 512-533 - 2023
- [i9]Karan N. Chadha, Junye Chen, John C. Duchi, Vitaly Feldman, Hanieh Hashemi, Omid Javidbakht, Audra McMillan, Kunal Talwar:
Differentially Private Heavy Hitter Detection using Federated Analytics. CoRR abs/2307.11749 (2023) - 2022
- [c4]Tiantian Feng, Hanieh Hashemi, Murali Annavaram, Shrikanth S. Narayanan:
Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition. ICASSP 2022: 7702-7706 - [c3]Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram:
Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. IPDPS 2022: 628-638 - [i8]Hanieh Hashemi, Yongqin Wang, Murali Annavaram:
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. CoRR abs/2207.00083 (2022) - [i7]Hanieh Hashemi, Wenjie Xiong
, Liu Ke, Kiwan Maeng, Murali Annavaram, G. Edward Suh, Hsien-Hsin S. Lee:
Data Leakage via Access Patterns of Sparse Features in Deep Learning-based Recommendation Systems. CoRR abs/2212.06264 (2022) - 2021
- [c2]Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram:
MultiLogVC: Efficient Out-of-Core Graph Processing Framework for Flash Storage. IPDPS 2021: 245-255 - [c1]Hanieh Hashemi, Yongqin Wang
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. MICRO 2021: 212-224 - [i6]Hanieh Hashemi, Yongqin Wang, Murali Annavaram:
Privacy and Integrity Preserving Training Using Trusted Hardware. CoRR abs/2105.00334 (2021) - [i5]Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram:
Byzantine-Robust and Privacy-Preserving Framework for FedML. CoRR abs/2105.02295 (2021) - [i4]Tingting Tang, Ramy E. Ali, Hanieh Hashemi, Tynan Gangwani, Salman Avestimehr, Murali Annavaram:
Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning. CoRR abs/2107.12958 (2021) - [i3]Tiantian Feng, Hanieh Hashemi, Rajat Hebbar, Murali Annavaram, Shrikanth S. Narayanan:
Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings. CoRR abs/2112.13416 (2021) - 2020
- [i2]Hanieh Hashemi, Yongqin Wang, Murali Annavaram:
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks. CoRR abs/2006.01300 (2020)
2010 – 2019
- 2019
- [i1]Kiran Kumar Matam, Hanieh Hashemi, Murali Annavaram:
PartitionedVC: Partitioned External Memory Graph Analytics Framework for SSDs. CoRR abs/1905.04264 (2019)
Coauthor Index
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